Data Analyst focused on translating business problems into analytical solutions using data exploration, visualization, and reporting.
Power BI DAX Power Query
GitHub: [Repo Link]
- Built a Power BI dashboard analyzing 8,800 B2B sales opportunities across a full CRM pipeline
- Developed 15+ DAX measures for KPIs, time intelligence, and performance segmentation
- Identified 21% win rate drop in Q2 despite revenue peaking at $3.1M, revealing hidden pipeline inefficiencies
- Discovered key risks: 11.5% dependency on a single agent and 73% revenue concentration in GTX product line
Power BI DAX Power Query
GitHub: Repo Link
- Tracked $1.54B total sales with 40% conversion rate and 21.4% YoY growth
- Key finding: 71.9% of sales happened on weekdays; properties 350–500 m² were highest demand — used to guide agent scheduling and inventory strategy
- 52% repeat buyer rate tracked via DAX retention measures
Power BI DAX Power Query Team Lead
GitHub: Repo Link
- Led a 5-member team to define KPIs and deliver 7 interactive dashboards tracking $475K revenue and 60.31% YoY growth across sales, customers, products, shipping, and geography
- Designed a 7-table Star Schema and developed 30+ DAX measures covering time intelligence, customer retention (91.86%), segmentation, and geographic performance — achieving $5.34K average sales per customer
- Identified that 81.68% of sales are international across 21 countries, with the USA and Germany contributing 34% of total revenue, translating insights into a data-driven market expansion roadmap
Python Pandas Matplotlib Seaborn
GitHub: [Repo Link]
- EDA on 6,800+ film records analyzing revenue, votes, and IMDb score distributions
- Animation & Family genres generate 45–60% higher average gross than other categories
- Marvel outperforms the industry average by 25%+; 8.0–9.0 IMDb range = peak revenue segment
⭐ Open to Data Analyst & Business Intelligence opportunities